Feature Flagging
Feature flag configuration and rollout planning for controlled releases
npx skills add a5c-ai/babysitter --skill feature-flags --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Feature Flagging Skill ## Overview Specialized skill for feature flag configuration and rollout planning. Enables product teams to plan and manage controlled feature releases with proper targeting, monitoring, and rollback strategies. ## Capabilities ### Flag Design - Generate feature flag specifications - Design flag naming conventions - Create flag documentation templates - Define flag types (release, experiment, ops, permission) - Plan flag dependencies and interactions ### Rollout Planning - Design rollout percentage strategies - Create flag targeting rules - Plan canary and gradual rollouts - Define geographic or segment-based rollouts - Create rollout schedules ### Operations - Generate kill switch procedures - Track flag lifecycle and cleanup - Monitor flag impact on metrics - Plan flag deprecation - Create incident response procedures ## Target Processes This skill integrates with the following processes: - `product-launch-gtm.js` - Feature flag rollout for launches - `beta-program.js` - Beta feature flagging - `conversion-funnel-analysis.js` - A/B test flag management ## Input Schema ```json { "type": "object", "properties": { "mode": { "type": "string", "enum": ["design
- Overview
- Capabilities
- Flag Design
- Rollout Planning
- Operations
- Target Processes
- Input Schema
- Output Schema
- Usage Example
- Dependencies
What does the Feature Flagging skill do?
Feature flag configuration and rollout planning for controlled releases
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill feature-flags --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.